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      Application of entropy-based features to predict defibrillation outcome in cardiac arrest 

      Chicote Gutiérrez, Beatriz; Irusta Zarandona, Unai; Alcaraz, Raúl; Rieta, José Joaquín; Aramendi Ecenarro, Elisabete; Isasi Liñero, Iraia; Alonso, Daniel; Ibarguren Olalde, Karlos (MDPI, 2016-08)
      Prediction of defibrillation success is of vital importance to guide therapy and improve the survival of patients suffering out-of-hospital cardiac arrest (OHCA). Currently, the most efficient methods to predict shock ...